Instructions to use DeepWokLab/bert-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepWokLab/bert-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DeepWokLab/bert-tiny")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("DeepWokLab/bert-tiny") model = AutoModel.from_pretrained("DeepWokLab/bert-tiny") - Notebooks
- Google Colab
- Kaggle
BERT-Tiny
This checkpoint was originally from Google's BERT repository, and was converted to HuggingFace format by prajjwal1/bert-tiny.
We forces contiguous tensors in the state_dict and uploaded here for MASE and Advanced Deep Learning System Lab.
- Downloads last month
- 10